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Beste AI-codehoek

Een budgetbuild voor lokale AI-codeaanvulling met 14B-model, plus dev.

De aanvraag
  • Code-assistent (lokale LLM)
  • Dev-omgevingen
  • Docker
Aanvraag bewerken
Overzicht · Unified-memory build€2,012

Eisen vs deze build

nodig · gebruikt
CPU-threads1547%OK
RAM64 GB100%Vol
Opslag3 TB99%Vol
GPUAI-geschikt

Verbruik

Gebruik
24/7
Inactief
13 W
Typisch
20 W
Piek
38 W
Energie / jaar
≈ €44
Over 3 jaar
≈ €133

Score

Totaal72
Prestaties76
Efficiëntie93
Waarde73

Waarom deze variant

Kies deze als

Balances your priorities with a 2012€ price tag and a 13W idle draw.

Wat het opoffert
  • Not specialized: it does not push any single dimension (value, silence, expansion) to the extreme.
Hoe de onderdelen zijn gekozen
  • GMKtec EVO-X2 — AMD Ryzen AI Max+ 395 (64GB): 32 threads, 64GB RAM, 12W idle — a complete, efficient prebuilt for this workload.
  • Turnkey: no assembly, smaller footprint, lower energy than a custom build.
  • Unified memory: the integrated GPU can use up to ~48 GB of the 64 GB as graphics memory, so the model fits without a dedicated card. Decode speed follows the 256 GB/s memory bus — several times slower than a high-end card, but a fraction of its price and power.
Waarom niet de andere
  • Unified-memory build — the model in shared RAM, no card beats "Smart build — best all-round" on performance -14, value +6, efficiency +37, expandability -69, longevity +16 — that is why it is recommended for your priorities.
  • Unified-memory build — the model in shared RAM, no card beats "Value build — most for your money" on efficiency +44, expandability -59, silence +25, longevity +16 — that is why it is recommended for your priorities.

Voor je koopt

3 kritiek
Kritiek
Check the balance
This build may struggle with the workload.
Kritiek
No storage redundancy
1 drive(s) with no mirror or parity for the data you plan to store.
Kritiek
RAM is nearly exhausted
The workload needs 100% of available RAM — swapping will hurt.